Achieved 20-40% Reduction in Infrastructure Costs and 95% Auto-Scaling Accuracy with Amazon EKS

Solutions

• Used eksctl to deploy clusters across different environments with YAML config files defining node size and count.
• Set up Cluster Autoscaler for automatic node scaling based on resource needs.
• Configured Horizontal Pod Autoscaler (HPA) to adjust pod counts based on CPU and memory metrics.
• Implemented RBAC to manage access for different user roles by defining roles and permissions.
• Applied node affinity for optimized resource usage and pod placement based on specific conditions.
• Deployed ELK stack (Elasticsearch, Logstash, Kibana) for comprehensive log collection and analysis.
• Integrated Fluent Bit for forwarding logs from EKS pods to ELK for efficient management.
• Used Prometheus with Grafana for monitoring node and pod metrics, providing insights into system health.